Thousands of economists spread across almost every country use the GTAP model to analyse trade policies including trade wars and trade agreements. GTAP has an impressive regional coverage (140 countries), but the standard commodity coverage (57 commodities/industries) can cause frustration when tariffs on narrowly defined products are being negotiated. This article sets out a method for disaggregating commodities/industries in computable general equilibrium models such as GTAP and applies it to GTAP’s motor vehicle sector. The method makes use of readily available highly disaggregated trade data supplemented by detailed input–output data where available and data from a variety of other sources such as commercial market reports.
Barnes Reports. (2017a). Automobile & motor vehicle mfg. industry NAICS 336112017 World Industry & Market Outlook Report. (pp. 1–139).
5.
Barnes Reports. (2017b). Automobile gas engine & engine parts mfg. NAICS 33631. 2017 World Industry & Market Outlook Report (pp. 1–139).
6.
Barnes Reports. (2017c). Heavy duty truck manufacturing industry NAICS 33612. 2017 World Industry & Market Outlook Report (pp. 1–139).
7.
CalderonC.ChongA.SteinE. (2007). Trade intensity and business cycle synchronization: Are developing countries any different?Journal of International Economics, 71(1), 2–21.
8.
CorongE.HertelT.McDougallR.TsigasM.van der MensbruggheD. (2017). The standard GTAP model, version 7. Journal of Global Economic Analysis, 4(1), 1–119.
9.
DeardorffA. V.SternR. M.BaumC. F. (1977). A multi-country simulation of the employment and exchange-rate effects of post-Kennedy round tariff reductions (Chapter 3). In AkrasaneeN.NayaS.Vichit-VadakanV. (Eds.), Trade and employment in Asia and the Pacific (pp. 36–72). Honolulu, Hawaii: The University Press of Hawaii.
10.
DixonP. B.RimmerM. T.TranN. (2019). GTAP-MVH, a model for analysing the worldwide effects of trade policies in the motor vehicle sector: Theory and data (CoPS Working Paper No. G-290). Retrieved from http://www.copsmodels.com/elecpapr/g-290.htm
11.
DixonP. B.RimmerM. T.WaschikR. G. (2017). Updating USAGE: Baseline and illustrative application (CoPS Working Paper No. G-269). Retrieved from http://www.copsmodels.com/elecpapr/g-269.htm
12.
DixonP. B.ParmenterB. R.RylandG. J.SuttonJ. (1977). ORANI, A general equilibrium model of the Australian economy: Current specification and illustrations of use for policy analysis. First Progress Report of the IMPACT Project (vol. 2, pp. xii + 297). Canberra, Australia: Australian Government Publishing Service.
13.
DixonP. B.ParmenterB. R.SuttonJ.VincentD. P. (1982). ORANI: A Multisectoral model of the Australian economy. Contributions to Economic Analysis (vol. 142, pp. xviii + 372). Amsterdam, Netherlands: North-Holland Publishing Company.
14.
EvansH. D. (1972). A general equilibrium analysis of protection: The effects of protection in Australia: Contributions to economic analysis (Vol. 76). Amsterdam, Netherlands: North-Holland Publishing Company.
15.
FerrantinoM. J.LiuX.WangZ. (2012). Evasion behaviors of exporters and importers: Evidence from the US–China trade data discrepancy. Journal of International Economics, 86(1), 141–157.
MaiY.-H.DixonP. B.RimmerM. T. (2010). CHINAGEM: A Monash-styled dynamic CGE model of China (CoPS Working Paper No. G-201). Retrieved from http://www.copsmodels.com/elecpapr/g-201.htm
UN Comtrade. (2018). United Nations commodity trade statistics database. United Nations Statistics Division. Retrieved September 4, 2018, from https://comtrade.un.org/db/
25.
United Nations Industrial Development Organization (UNIDO). (2018). IDSB—Industrial demand-supply balance database. United Nations Industrial Development Organization (UNIDO). Retrieved from https://www.unido.org/researchers/statistical-databases
